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@audio/neural

The opt-in ML lane. All planned — gated on policy, not code.

Package What
@audio/neural-runtime one inference adapter (ONNX Runtime Web / tflite), worklet-ready
@audio/neural-denoise RNNoise / DeepFilterNet class
@audio/neural-amp NAM-class amp captures
@audio/neural-separate stems (Demucs / Open-Unmix class)

Policy (keeps the classical stance honest): classical tools never require this lane; weights are hosted separately and licensed-audited before any promise (many audio models are research-only — the freemium "premium ML weights" conflict in the site todo resolves here); deterministic pipelines stay classical. MIR's deferred ML tier (genre/mood/tags/separate) lands here when it lands.

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Neural lane — umbrella for @audio/neural-* atoms (runtime adapter, denoise, amp, separation)

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